Neural hardware capture
Model the tone and behavior of analog gear once, then run it inside your DAW in real time.
Neuaris is a neural audio capture system built around two products: a trainer app that learns the sound of hardware and a plugin that recreates those models in real time inside your DAW.
Model the tone and behavior of analog gear once, then run it inside your DAW in real time.
Neuaris combines a desktop trainer for capture and model creation with a playback plugin for sessions.
Trainer and plugin flows are designed for macOS and Windows with GPU-accelerated training paths.

Neuaris is not a single plugin page. It is a complete capture workflow with dedicated tooling for model creation and model playback.

Desktop training app for EQ capture, preamp and compressor modeling, distortion training, tape capture, and mic morph workflows.

AU and VST3 playback plugin that loads trained NCM models and adapts its controls based on the captured device type.
The trainer supports three major capture workflows today, each targeted at a different class of studio transformation.

Capture analog EQ curves with pink noise, fit multi-biquad cascades, and optionally learn the nonlinear color layer too.
Train preamps, compressors, pedals, and saturation chains from dry and wet recordings with auto-alignment and multi-state support.
Transform one microphone response into another using IR-based analysis plus optional neural character enhancement.
Swift, Core, Pro, and Ultra quality tiers let Neuaris balance latency, CPU cost, and fidelity across laptops, studios, and even embedded hardware targets.
The marketplace direction matters as much as the apps themselves. Neuaris needs a storefront for free models, paid model slots, and full Pro access.
12 models available in the first marketplace-oriented content layout.
10 models available in the first marketplace-oriented content layout.
8 morphs available in the first marketplace-oriented content layout.
Memberships are now aligned to the Neuaris system: free Play access, Beginner content expansion, and Pro for full content plus Construct.